Estimation of railway ballast fouling indices via generative inversion of random irregular particles accounting for moisture gradients - Deep learning / 3D spectral inversion GPR

Candidate profile A Master’s degree (MSc) or equivalent, with a strong background in one or more of the following areas: • civil engineering / applied geophysics, • signal processing, • applied physics or engineering sciences, • data science or artificial intelligence applied to physical systems. A dual background in physics and numerical methods, or in civil engineering and artificial intelligence, will be particularly valued. Conditions • Duration: 3 years • Start date: October 2026 • Location: MAST/LAMES – Nantes-Bouguenais site • Funding: doctoral contract funded by Université Gustave Eiffel • Application deadline : April 6, 2026